Summary

Comparison

Map

About

Modified for Ontario

Added official Ontario results from the latest public data on COVID-19 cases in Ontario and the status dataset.

Added logistic curve for Ontario.

Formula: Y ~ K * Y0/(Y0 + (K - Y0) * exp(-r * X1))

Parameters:
    Estimate Std. Error t value Pr(>|t|)    
K  2.018e+04  3.192e+02   63.23   <2e-16 ***
r  1.181e-01  2.630e-03   44.88   <2e-16 ***
Y0 3.257e+02  2.318e+01   14.05   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 289.4 on 59 degrees of freedom

Number of iterations to convergence: 9 
Achieved convergence tolerance: 3.63e-06

The Coronavirus Dashboard: the case of Belgium

This Coronavirus dashboard: the case of Belgium provides an overview of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic for Belgium. This dashboard is built with R using the R Makrdown framework and was adapted from this dashboard by Rami Krispin.

Code

The code behind this dashboard is available on GitHub.

Data

The input data for this dashboard is the dataset available from the {coronavirus} R package. Make sure to download the development version of the package to have the latest data:

install.packages("devtools")
devtools::install_github("RamiKrispin/coronavirus")

The data and dashboard are refreshed on a daily basis.

The raw data is pulled from the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus repository.

Contact

For any question or feedback, you can contact me. More information about this dashboard can be found in this article.

Update

The data is as of Monday May 04, 2020 and the dashboard has been updated on Tuesday May 05, 2020.